A Vector Field Design Approach to Animated Transitions

Wang, Yong; Archambault, Daniel; Scheidegger, Carlos; Qu, Huamin

doi:10.1109/tvcg.2017.2750689

Cited by 21 publications

(11 citation statements)

References 47 publications

(97 reference statements)

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“…Of the remaining four publications, two used Canvas and two used WebGL. For example, Wang et al [38] "used SVG for visualizing the animations, as it is easier to operate on the SVG elements and the efficiency of SVG is acceptable for our project". On the other hand, Jo et al [22] wrote their application with "the HTML5 Canvas API to support visualizing tens of thousands of nodes and edges."…”

Section: Svgs In Information Visualization Researchmentioning

confidence: 99%

Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering

Schwab

Saffo

Bond

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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The dominant markup language for Web visualizations-Scalable Vector Graphics (SVG)-is comparatively easy to learn, and is open, accessible, customizable via CSS, and searchable via the DOM, with easy interaction handling and debugging. Because these attributes allow visualization creators to focus on design on implementation details, tools built on top of SVG, such as D3.js, are essential to the visualization community. However, slow SVG rendering can limit designs by effectively capping the number of on-screen data points, and this can force visualization creators to switch to Canvas or WebGL. These are less flexible (e.g., no search or styling via CSS), and harder to learn. We introduce Scalable Scalable Vector Graphics (SSVG) to reduce these limitations and allow complex and smooth visualizations to be created with SVG. SSVG automatically translates interactive SVG visualizations into a dynamic virtual DOM (VDOM) to bypass the browser's slow 'to specification' rendering by intercepting JavaScript function calls. De-coupling the SVG visualization specification from SVG rendering, and obtaining a dynamic VDOM, creates flexibility and opportunity for visualization system research. SSVG uses this flexibility to free up the main thread for more interactivity and renders the visualization with Canvas or WebGL on a web worker. Together, these concepts create a drop-in JavaScript library which can improve rendering performance by 3-9× with only one line of code added. To demonstrate applicability, we describe the use of SSVG on multiple example visualizations including published visualization research. A free copy of this paper, collected data, and source code are available as open science at osf.io/ge8wp.

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Section: Svgs In Information Visualization Researchmentioning

confidence: 99%

Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering

Schwab

Saffo

Bond

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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“…However, when going beyond just presenting the changes to assisting in highlevel analysis tasks (e.g., tracking temporal trends, comparing temporal changes in multiple objects, etc. ), animation encounters many challenges [27], especially keeping consistency over frames, e.g., keeping objects in the same group moving consistently [28], or applying smooth transitions between frames [29]. Without careful design, animation can be used poorly, because people have trouble tracking more than four moving objects at a time [30].…”

Section: Temporal Data Visualizationmentioning

confidence: 99%

Temporal scatterplots

et al. 2020

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Visualizing high-dimensional data on a 2D canvas is generally challenging. It becomes significantly more difficult when multiple time-steps are to be presented, as the visual clutter quickly increases. Moreover, the challenge to perceive the significant temporal evolution is even greater. In this paper, we present a method to plot temporal high-dimensional data in a static scatterplot; it uses the established PCA technique to project data from multiple time-steps. The key idea is to extend each individual displacement prior to applying PCA, so as to skew the projection process, and to set a projection plane that balances the directions of temporal change and spatial variance. We present numerous examples and various visual cues to highlight the data trajectories, and demonstrate the effectiveness of the method for visualizing temporal data.

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“…Dragicevic et al [DBJ * 11] compared time distortion methods, such as slow-in / slow-out and fast-in / fast-out, and found that slow-in / slow-out enabled users to better track visual objects. Other studies concern improving data point trajectory paths using bundling [DCZL15] or vector field [WASQ18] techniques. Taking this prior work into account, here we develop both elaborate multi-stage transitions and simpler variants for comparison.…”

Section: Related Workmentioning

confidence: 99%

“…Animation can help viewers track changes and stay oriented across transitions between related statistical graphics [RMC91, Gon96, BB99, HR07], with research to‐date primarily focused on transitions in response to filtering, time steps, changing variables, or adjusting visual encodings [HR07, RFF∗08, CDF14, DBJ∗11, WASQ18]. However, visual analysis regularly involves summarizing groups of data using aggregation operations such as count, sum, and average.…”

Section: Introductionmentioning

confidence: 99%

Designing Animated Transitions to Convey Aggregate Operations

Kim

Correll

Heer

2019

Computer Graphics Forum

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Data can be aggregated in many ways before being visualized in charts, profoundly affecting what a chart conveys. Despite this importance, the type of aggregation is often communicated only via axis titles. In this paper, we investigate the use of animation to disambiguate different types of aggregation and communicate the meaning of aggregate operations. We present design rationales for animated transitions depicting aggregate operations and present the results of an experiment assessing the impact of these different transitions on identification tasks. We find that judiciously staged animated transitions can improve subjects' accuracy at identifying the aggregation performed, though sometimes with longer response times than with static transitions. Through an analysis of participants' rankings and qualitative responses, we find a consistent preference for animation over static transitions and highlight visual features subjects report relying on to make their judgments. We conclude by extending our animation designs to more complex charts of aggregated data such as box plots and bootstrapped confidence intervals.

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A Vector Field Design Approach to Animated Transitions

Cited by 21 publications

References 47 publications

Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering

Scalable Scalable Vector Graphics: Automatic Translation of Interactive SVGs to a Multithread VDOM for Fast Rendering

Temporal scatterplots

Designing Animated Transitions to Convey Aggregate Operations

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